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DBMS > Hawkular Metrics vs. Quasardb vs. TerminusDB vs. TimesTen vs. YottaDB

System Properties Comparison Hawkular Metrics vs. Quasardb vs. TerminusDB vs. TimesTen vs. YottaDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonQuasardb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTimesTen  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed, high-performance timeseries databaseScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsIn-Memory RDBMS compatible to OracleA fast and solid embedded Key-value store
Primary database modelTime Series DBMSTime Series DBMSGraph DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
RDF store
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.hawkular.orgquasar.aiterminusdb.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlyottadb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedoc.quasar.ai/­masterterminusdb.github.io/­terminusdb/­#docs.oracle.com/­database/­timesten-18.1yottadb.com/­resources/­documentation
DeveloperCommunity supported by Red HatquasardbDataChemist Ltd.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005YottaDB, LLC
Initial release20142009201819982001
Current release3.14.1, January 202411.0.0, January 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL V3commercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Prolog, RustC
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Docker
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono
Secondary indexesnoyes infowith tagsyesno
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (WOQL)yesby using the Octo plugin
APIs and other access methodsHTTP RESTHTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGo
Java
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript
Python
C
C++
Java
PL/SQL
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonoyesPL/SQL
Triggersyes infovia Hawkular Alertingnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoconsistent hashingGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factorJournaling StreamsMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes infoin-memory journalingyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyesyes
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailRole-based access controlfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
Hawkular MetricsQuasardbTerminusDB infoformer name was DataChemistTimesTenYottaDB
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